IEEE Journal of Selected Topics in Signal Processing

Papers
(The H4-Index of IEEE Journal of Selected Topics in Signal Processing is 43. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing475
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing466
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing234
An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems233
Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks149
Self-Supervised Speech Representation Learning: A Review132
Channel Estimation for Intelligent Reflecting Surface Assisted MIMO Systems: A Tensor Modeling Approach130
Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems124
Nonlinear Transform Coding105
RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization97
4D Automotive Radar Sensing for Autonomous Vehicles: A Sparsity-Oriented Approach96
Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming94
Automotive Radar Signal Processing: Research Directions and Practical Challenges90
Private 5G Networks: Concepts, Architectures, and Research Landscape87
Dual-Functional Radar-Communication Waveform Design: A Symbol-Level Precoding Approach83
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model78
Distributed Machine Learning for Multiuser Mobile Edge Computing Systems76
Multi-User Holographic MIMO Surfaces: Channel Modeling and Spectral Efficiency Analysis74
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition74
Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications74
Joint Multi-User Communication and Sensing Exploiting Both Signal and Environment Sparsity73
Design and Performance Evaluation of Joint Sensing and Communication Integrated System for 5G mmWave Enabled CAVs72
Joint Transmit Waveform and Receive Filter Design for Dual-Function Radar-Communication Systems72
RIS-Assisted UAV Communications for IoT With Wireless Power Transfer Using Deep Reinforcement Learning67
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning67
MIMO-OFDM Joint Radar-Communications: Is ICI Friend or Foe?66
Decentralized Federated Learning With Unreliable Communications65
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing65
FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation64
Multi-Channel Back-Projection Algorithm for mmWave Automotive MIMO SAR Imaging With Doppler-Division Multiplexing61
Hybrid Beamforming Design for OFDM Dual-Function Radar-Communication System59
Adaptive Deep Learning-Based Point Cloud Geometry Coding59
Online Edge Learning Offloading and Resource Management for UAV-Assisted MEC Secure Communications58
STAR-RISs: A Correlated T&R Phase-Shift Model and Practical Phase-Shift Configuration Strategies56
Tensor Decompositions in Wireless Communications and MIMO Radar55
Distributed Few-Shot Learning for Intelligent Recognition of Communication Jamming51
Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar49
RIS-Aided Joint Localization and Synchronization With a Single-Antenna Receiver: Beamforming Design and Low-Complexity Estimation48
Joint Communication and Localization in Millimeter Wave Networks46
RIS-Enabled SISO Localization Under User Mobility and Spatial-Wideband Effects45
CIMFNet: Cross-Layer Interaction and Multiscale Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images45
Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling45
FRNet: Feature Reconstruction Network for RGB-D Indoor Scene Parsing44
Reconfigurable Intelligent Surface-Assisted Multi-UAV Networks: Efficient Resource Allocation With Deep Reinforcement Learning43
LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing43
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